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Super-Resolution

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하위 태스크: 7
평가표: 1
보존된 평가 기록: 1

Super-Resolution is a task in computer vision that involves increasing the resolution of an image or video by generating missing high-frequency details from low-resolution input. The goal is to produce an output image with a higher resolution than the input image, while preserving the original content and structure.

<span style="color:grey; opacity: 0.6">( Credit: MemNet )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/fcongrui/3dattgan

공식 코드

3DAttGAN: A 3D Attention-based Generative Adversarial Network for Joint Space-Time Video Super-Resolution

https://github.com/felixyu7/nt_mlreco

공식 코드

Enhancing Events in Neutrino Telescopes through Deep Learning-Driven Super-Resolution

https://github.com/fenglinglwb/edt

공식 코드

On Efficient Transformer-Based Image Pre-training for Low-Level Vision

https://github.com/fmerizzi/era5-to-cerra-via-diffusion-models

공식 코드

Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion models

https://github.com/fpramunno/ldm_superresolution

공식 코드

Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model Approach

https://github.com/fqnchina/DecoupleLearning

공식 코드

Decouple Learning for Parameterized Image Operators

https://github.com/francesclluis/sound-field-neural-network

공식 코드

Sound field reconstruction in rooms: inpainting meets super-resolution

https://github.com/francis0625/omni-sr

공식 코드

Omni Aggregation Networks for Lightweight Image Super-Resolution

https://github.com/franziska-schirrmacher/lpr-uncertainty

공식 코드

Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition

https://github.com/frccvpr/frc-loss

공식 코드

Image quality measurements and denoising using Fourier Ring Correlations

https://github.com/fried-rice-lab/emt

공식 코드

Efficient Mixed Transformer for Single Image Super-Resolution

https://github.com/fried-rice-lab/friedricelab

공식 코드

Image Super-Resolution using Efficient Striped Window Transformer

https://github.com/frozenburning/text2light

공식 코드

Text2Light: Zero-Shot Text-Driven HDR Panorama Generation

https://github.com/fudanvi/fudanocr

공식 코드

Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution

https://github.com/funaudiollm/inspiremusic

공식 코드

InspireMusic: Integrating Super Resolution and Large Language Model for High-Fidelity Long-Form Music Generation

https://github.com/fvmassoli/cross-resolution-face-recognition

공식 코드

Cross-Resolution Learning for Face Recognition

https://github.com/fyan111/rlfn

공식 코드

Residual Local Feature Network for Efficient Super-Resolution

https://github.com/fzuzyb/ASteISR

공식 코드

ASteISR: Adapting Single Image Super-resolution Pre-trained Model for Efficient Stereo Image Super-resolution

https://github.com/fzuzyb/scglanet

공식 코드

Toward Real World Stereo Image Super-Resolution via Hybrid Degradation Model and Discriminator for Implied Stereo Image Information

https://github.com/g33sean/rtil

공식 코드

Regularized Training of Intermediate Layers for Generative Models for Inverse Problems

https://github.com/galgreshler/Catch-A-Waveform

공식 코드

Catch-A-Waveform: Learning to Generate Audio from a Single Short Example

https://github.com/gaozhongpai/sis-implicit

공식 코드

Learning Continuous Mesh Representation with Spherical Implicit Surface

https://github.com/gaurav-arya/imagingopt.jl

공식 코드

End-to-End Optimization of Metasurfaces for Imaging with Compressed Sensing

https://github.com/genforce/mganprior

공식 코드

Image Processing Using Multi-Code GAN Prior

https://github.com/george-gca/sr-pytorch-lightning

공식 코드

Single Image Super-Resolution Based on Capsule Neural Networks

https://github.com/gfxdisp/colorvideovdp

공식 코드

Training Neural Networks on RAW and HDR Images for Restoration Tasks

https://github.com/giannisdaras/ilo

공식 코드

Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

https://github.com/gift-surg/MONAIfbs

공식 코드

MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation

https://github.com/giovannicatalani/enf2enf

공식 코드

Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations

https://github.com/gistvision/e2sri

공식 코드

Learning to Super Resolve Intensity Images from Events

https://github.com/gitcvfb/rssr

공식 코드

Rolling Shutter Inversion: Bring Rolling Shutter Images to High Framerate Global Shutter Video

https://github.com/givkashi/oair

공식 코드

OAIR: Object-Aware Image Retargeting Using PSO and Aesthetic Quality Assessment

https://github.com/gladzhang/art

공식 코드

Accurate Image Restoration with Attention Retractable Transformer

https://github.com/goddesshs/transmrsr

공식 코드

TransMRSR: Transformer-based Self-Distilled Generative Prior for Brain MRI Super-Resolution

https://github.com/gohtanii/DiverSeg-dataset

공식 코드

Rethinking Image Super-Resolution from Training Data Perspectives

https://github.com/gojasper/flash-diffusion

공식 코드

Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.